Hour-glass Neural Network based Daily Money Flow Estimation for Automatic Teller Machines （査読付）

The Institute of Electrical Engineers  Transactions on Electronics,Information & Systems

129

7

In this paper, we propose a daily cash flow estimation system using neural networks that enables better daily forecasting of the money required at the ATMs. The neural network used in this work is a five layered hour glass shaped structure that achieves fast learning, even for the time series data for which seasonality and trend feature extraction is difficult. This work achieves an average estimation accuracy of 92.6%.
共著者：Stephen Karungaru, Akashi Takuya, Nakano Miyoko and Minoru Fukumi